Senior Backend Engineer at VC backed profitable startup

Jelly
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Java Backend Engineer

Senior Softwar Engineer (Backend)

Senior AI Engineer

Senior Software Engineer (Frontend)

Senior Python Developer

Senior Backend Software Developer

What is the most impactful thing one can do with our two most precious resource - talent and time. For us, it does not get bigger than theGlobal Food System.


By applying first principle approach, we understood that the Foodservice Industry - folks who prepare food outside of the home - is the key to unlocking the food system we want.


Since raising seed funding fromTier 1 venture investors, including those that put first monies into Revolut, Transferwise and Just Eat, we’ve reachedprofitabilitywith a10x growthin our customer base. Thousands of chefs, operators and owners across 500+ food businesses rely on us every single day.


This is your opportunity to join our tight-knit team at this most impactful stage, where your impact will be magnified and your ambitions scaled globally.


The Company


Today, from Michelin-starred restaurants to your neighbourhood cafes,pen & paper and spreadsheets still rules over core operations -from costing menus, checking inventory to managing supplies. These operations are hidden from consumers’ eyes in what’s known as the Back-of-House, the beating heart of any food businesses.


While the Front-of-house - think point of sale, bookings, and food delivery - has attracted billions in investment, it fails to cope with core operations in the back. That’s where Jelly begins.


We are building a new system from the ground up for the Back-of-House - to change everything.


The Role


We’re looking for aSenior Backend Engineerto tackle complex data challenges never before identified - challenges that are foundational to our vision of a new food system. These arise from a fragmented, complex industry handling billions of daily transactions without standardisation of data. You’ll harness cutting-edge technologies - from computer vision to LLMs, or any other novel approach you devise - to deliver transformative solutions.


You’ll have autonomy and influence in shaping a product for one of the world’s largest industries, working with a small, tight-knit, and highly supportive team. Strong communication skills are essential, as you’ll have visibility across all parts of the business.


While your primary focus is backend, we value flexibility in bug-fixing and building simple React components when needed.


Hard requirements

  • Proficient in TypeScript and NodeJS.
  • Can build and maintain AWS solutions with services including ECS, Lambda and RDS.
  • Strong understanding of GraphQL and performance optimisation.
  • Expertise with relational databases, including performance analysis and optimisation.
  • Ability to create simple React components and fix UI bugs.
  • Interest in AI technologies and some experience (including side projects) working with AI APIs.


Desirable requirements

  • Experience with PostgreSQL, triggers and stored procedures.
  • Experience with strictly typed languages such as GoLang.
  • Experience with NoSQL and big data.
  • Experience with Nexus GraphQL.
  • Experience implementing AI APIs in an ETL pipeline or similar.


Compensation

  • Salary £70-90k, sponsor license available.
  • Significant equity options reflecting the importance of this role, more than you would find elsewhere.
  • 33 days of paid leave per year (25 holidays + 8 bank holidays).


Perks

  • Flexible: we prioritise in-office work for fostering collaboration, with most of our team in our Bank office 3 days a week, balanced with the freedom to work from home as needed.
  • Dedicated one-to-one coaching sessions.
  • Fortnightly social dinners at our customer restaurants.


Interview Process

  • Stage 1: Phone call with CEO (15min)
  • Stage 2: Take-home test (approx. 2 hours). Demonstrate your technical skills with a relevant real-world scenario
  • Stage 3: Technical interview (2 hours). Collaborate with our team to review your take-home test and discuss solutions
  • Stage 4: Leadership interview (1 hour)


More detail https://www.notion.so/getjelly/Senior-Backend-Jelly-160bfb49937880e08a8ac0f44bbe1171

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Job-Hunting During Economic Uncertainty: AI Edition

Artificial intelligence (AI) has become a driving force behind modern technology, transforming industries as diverse as finance, healthcare, retail, and manufacturing. From predictive analytics and natural language processing (NLP) to computer vision and generative AI, countless innovations rely on AI algorithms to solve complex problems and create new business opportunities. Despite its enormous potential, however, the AI job market can be impacted by broader economic uncertainties—recessions, investment slowdowns, or shifting corporate priorities—that lead to more selective hiring and tighter budgets. For job seekers in AI, this can mean grappling with fewer open positions, heightened competition, and extended decision-making timelines from employers. Yet, AI also remains integral to the digital future: as companies seek efficiencies through automation, data-driven insights, and sophisticated machine learning, opportunities persist even in a down market. The key is knowing how to stay visible, adaptable, and resilient when the broader environment feels unstable. In this guide, we’ll explore: Why economic volatility influences AI hiring and how this affects your job search. Proven strategies to maintain a competitive edge, even when budgets and roles shrink. Ways to refine your professional profile, emphasise relevant AI skills, and leverage networking effectively. Practical methods to stay motivated and focused, despite possible hiring slowdowns. How www.artificialintelligencejobs.co.uk can serve as your springboard for targeted AI opportunities. By combining foresight, adaptability, and a robust professional brand, you can secure a valuable AI position that propels your career forward—even during periods of economic uncertainty.

How to Achieve Work-Life Balance in AI Jobs: Realistic Strategies and Mental Health Tips

The Artificial Intelligence (AI) sector is evolving at an astonishing speed, reshaping industries that range from healthcare and finance to retail and cybersecurity. This transformation has triggered a massive demand for AI professionals—from machine learning engineers and data scientists to AI ethics specialists. With abundant opportunities and the allure of cutting-edge projects, it’s no surprise that AI is among the most sought-after career paths. Yet, behind the promise of lucrative salaries and pioneering research lies a pressing question: Is it actually feasible to maintain a healthy work-life balance in high-intensity AI roles? In a field known for demanding hours, intricate problem-solving, and perpetual learning curves, the balance between professional success and personal well-being often becomes precarious. In this article, we’ll explore real-world approaches to achieving work-life balance in the AI jobs sector. We’ll discuss why these roles can be stressful, offer realistic expectations for mental health, and provide actionable strategies for setting boundaries that protect both your career trajectory and your peace of mind. Whether you’re a seasoned AI professional or just stepping into this innovative industry, this guide will help you navigate the intensity without sacrificing your overall well-being.

Shifting from Academia to the AI Industry: How Researchers Can Harness Their Skills to Drive Commercial Artificial Intelligence

Artificial intelligence (AI) has advanced from a specialised academic pursuit to a transformative force in almost every sector—from healthcare diagnostics and autonomous vehicles to recommendation systems and creative generative models. As AI technologies continue to grow in complexity and impact, companies are looking for talent that combines deep theoretical knowledge with the ingenuity to solve real-world challenges. Increasingly, PhDs and academic researchers fit this profile perfectly. This guide will help you map out the transition from academia to industry in artificial intelligence. Whether you specialise in reinforcement learning, computer vision, natural language processing, or another AI discipline, you’ll find actionable advice on how to translate your academic strengths, adapt to commercial constraints, and excel in roles where your research insights can revolutionise products, services, and user experiences.